Palantir Application Developer Actual Exam
Questions and Answers (2026/2027) |
Updated Review | A+ Verified
• Ontology -✓✓- an operational layer for the organization.
- sits on top of the digital assets integrated into the Palantir platform (datasets and
models) and connects them to their real-world counterparts, ranging from physical
assets like plants, equipment, and products to concepts like customer orders or
financial transactions.
- serves as a digital twin of the organization, containing both the semantic elements
(objects, properties, links) and kinetic elements (actions, functions, dynamic
security) needed to enable use cases of all types.
• Ontology semantic elements -✓✓objects, properties, links
• Ontology kinetic elements -✓✓actions, functions, dynamic security
• objects, properties, and links -✓✓Defining the semantics of your organization
happens by mapping existing datasources into
• Action types and Functions -✓✓The kinetics of the organization—enabling
change while complying with organizational controls and governance—are defined
in the Ontology using
• Functions -✓✓provide a way to author and evolve business logic with arbitrary
complexity.
,• Interface -✓✓-an Ontology type that describes the shape of an object type and its
capabilities.
-provide object type polymorphism, allowing for consistent modeling of and
interaction with object types that share a common shape.
• Object Views -✓✓are a central hub for all information and workflows related to a
particular object. This includes key "biographical data" about an object, any linked
objects, key related metrics, and links to (or embedding of) key analyses,
dashboards, and applications related to the object.ho
• Object Explorer -✓✓-a search and analysis tool for answering questions about
anything in the Ontology layer.
-requires no pre-configuration and is geared towards less technical users.
• Quiver -✓✓-enables advanced analytical workflows in the Ontology layer
through a visual point-and-click interface and a powerful charting library. - can be
used to support anything from simple linear drill-down analyses to highly-
branched and complex analyses with aggregations and statistical functions.
- also supports native time series analysis.
- analyses can be templatized into read-only dashboards for broader consumption.
• Workshop -✓✓-enables point-and-click code-less application-building natively
on the Ontology layer.
-Applications built are more dynamic and interactive than typical dashboards
created in other point-and-click tools.
- as user-friendly and high-quality as custom React applications
• Slate -✓✓-a flexible application builder for Foundry that requires more technical
configuration and code than Workshop.
, - applications interact with the Ontology layer, but can also interact directly with
Foundry datasets.
- enables significant visual customization based on web development paradigms
and has a wide range of available features, but also requires more technical
knowledge to build and maintain applications than Workshop.
• Carbon -✓✓- enables combining multiple resources or applications in Foundry to
create highly curated workspaces for operational users. By allowing you to
combine analytical results such as dashboards, applications built in Workshop or
Slate, and out-of-the-box capabilities such as Object Views and Object Explorer, it
enables workflow builder to perform the "last mile" of customization to create a
highly tailored and usable experience for end users.
- can provide a focused experience for less technical users that need to carry out
critical operational workflows.
• Map -✓✓application allows you to bring together and analyze objects and other
data in a geospatial context.
• Application Comparison -✓✓see PNG
• Main Use Cases -✓✓Discovery, Analysis, Dashboards, and Applications.
• Discovery -✓✓- enables users to find the right information or workflow.
- is primarily enabled through two core features: curated content hubs and search.
• Analysis -✓✓enables users to answer a broad range of questions.
Questions and Answers (2026/2027) |
Updated Review | A+ Verified
• Ontology -✓✓- an operational layer for the organization.
- sits on top of the digital assets integrated into the Palantir platform (datasets and
models) and connects them to their real-world counterparts, ranging from physical
assets like plants, equipment, and products to concepts like customer orders or
financial transactions.
- serves as a digital twin of the organization, containing both the semantic elements
(objects, properties, links) and kinetic elements (actions, functions, dynamic
security) needed to enable use cases of all types.
• Ontology semantic elements -✓✓objects, properties, links
• Ontology kinetic elements -✓✓actions, functions, dynamic security
• objects, properties, and links -✓✓Defining the semantics of your organization
happens by mapping existing datasources into
• Action types and Functions -✓✓The kinetics of the organization—enabling
change while complying with organizational controls and governance—are defined
in the Ontology using
• Functions -✓✓provide a way to author and evolve business logic with arbitrary
complexity.
,• Interface -✓✓-an Ontology type that describes the shape of an object type and its
capabilities.
-provide object type polymorphism, allowing for consistent modeling of and
interaction with object types that share a common shape.
• Object Views -✓✓are a central hub for all information and workflows related to a
particular object. This includes key "biographical data" about an object, any linked
objects, key related metrics, and links to (or embedding of) key analyses,
dashboards, and applications related to the object.ho
• Object Explorer -✓✓-a search and analysis tool for answering questions about
anything in the Ontology layer.
-requires no pre-configuration and is geared towards less technical users.
• Quiver -✓✓-enables advanced analytical workflows in the Ontology layer
through a visual point-and-click interface and a powerful charting library. - can be
used to support anything from simple linear drill-down analyses to highly-
branched and complex analyses with aggregations and statistical functions.
- also supports native time series analysis.
- analyses can be templatized into read-only dashboards for broader consumption.
• Workshop -✓✓-enables point-and-click code-less application-building natively
on the Ontology layer.
-Applications built are more dynamic and interactive than typical dashboards
created in other point-and-click tools.
- as user-friendly and high-quality as custom React applications
• Slate -✓✓-a flexible application builder for Foundry that requires more technical
configuration and code than Workshop.
, - applications interact with the Ontology layer, but can also interact directly with
Foundry datasets.
- enables significant visual customization based on web development paradigms
and has a wide range of available features, but also requires more technical
knowledge to build and maintain applications than Workshop.
• Carbon -✓✓- enables combining multiple resources or applications in Foundry to
create highly curated workspaces for operational users. By allowing you to
combine analytical results such as dashboards, applications built in Workshop or
Slate, and out-of-the-box capabilities such as Object Views and Object Explorer, it
enables workflow builder to perform the "last mile" of customization to create a
highly tailored and usable experience for end users.
- can provide a focused experience for less technical users that need to carry out
critical operational workflows.
• Map -✓✓application allows you to bring together and analyze objects and other
data in a geospatial context.
• Application Comparison -✓✓see PNG
• Main Use Cases -✓✓Discovery, Analysis, Dashboards, and Applications.
• Discovery -✓✓- enables users to find the right information or workflow.
- is primarily enabled through two core features: curated content hubs and search.
• Analysis -✓✓enables users to answer a broad range of questions.
